[Hiring] AI/ML Engineer @General Dynamics Information Technology

Role Description

AI/ML ENGINEER SME

Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As an AI/ML Engineer SME at GDIT, you’ll power innovation to drive mission impact and grow your expertise to power your career forward.

Seize your opportunity to make a personal impact supporting the Case Management Modernization (CMM) Program.

The AI/ML Engineer will be part of the CMM Data Modernization and Governance team responsible for delivering:

• Integrated data governance
• Engineering
• Data platform
• Reporting
• Analytics
• Artificial Intelligence (AI)/Machine Learning (ML) capabilities

The successful candidate will be responsible for delivering:

• Advanced analytics
• Visualizations
• Statistical modeling
• AI/ML capabilities including Generative AI and Agentic AI solutions
• Predictive models
• Forecasting
• Data-driven decision-support tools and actionable insights

This role provides:

• Technical leadership
• Strategic guidance
• Tool recommendations to accelerate product development
• Improvement of decision automation and overall CMM products

The role also oversees:

• Design
• Development
• Integration
• Continuous enhancement of advanced analytics and AI/ML capabilities

Qualifications

• Education: BA/BS or equivalent required; MA/MS strongly preferred
• Experience: 15+ years of general experience in information systems with at least 10+ of those years involving specialized experience required
• Expertise in machine learning, deep learning, and natural language processing (NLP) techniques
• Strong proficiency with Python, SQL, ML/DL frameworks (TensorFlow, PyTorch, scikit-learn, XGBoost) and cloud AI services (AWS SageMaker, Bedrock, Azure ML, GCP Vertex AI)
• Experience implementing MLOps pipelines and integrating ML workflows into CI/CD environments
• Knowledge of federal compliance frameworks such as FedRAMP, FISMA, and NIST AI RMF
• Understanding data governance, model monitoring, and ethical AI practices
• Strong analytical, advisory, and communication skills
• Experience leading federal or judiciary AI/ML modernization programs (Preferred)
• Familiarity with Generative AI for content generation, summarization, and development assistance
• Experience applying predictive analytics to performance monitoring, test optimization, and resource planning
• Experience with vector databases, LLM fine-tuning, and Retrieval-Augmented Generation (RAG) pipelines
• Experience with MLOps/LLMOps (MLflow, SageMaker, Vertex AI, or Azure ML)
• Experience with Generative AI/LLM frameworks (LangChain, vector databases, OpenAI/Azure)
• Background in data visualization and explainable AI (XAI) methods (Preferred)

Requirements

• Excellent presentation and communication skills
• Consultant mindset with the ability to work with high-level customer stakeholders
• Experience identifying and applying industry tools, solutions, methods best practices, and emerging technologies
• Strong analytical skills and problem-solving skills
• Demonstrated ability to work effectively, independently, and as part of a team

Benefits

• Comprehensive benefits and wellness packages
• 401K with company match
• Competitive pay and paid time off
• Full flex work weeks where possible
• 15 days of paid leave per calendar year
• 10 paid holidays per year
• Paid Family Leave program providing up to 160 hours of paid leave in a rolling 12 month period
• Short and long-term disability benefits
• Life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance